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Interconnected Automation Systems (IAS)

At the Chair of Interconnected Automation Systems (IAS) at the University of Siegen, we drive basic and applied research on design automation of software and hardware to improve the reliability, efficiency and sustainability of modern cyber-physical infrastructures - from industrial and mechatronic systems to energy conversion applications and electrical power systems.

Abstracted electrical power representation
Gewinner_ETI_Adventsturnier

Sporty end to the year in the ETI department

Einladungsflyer
Beschäftigte
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ETI Advent table tennis tournament

The IAS team is pleased to invite you to this year's Advent table tennis tournament (see flyer). The organizational dates are:

  • December 17, 2025 starting at 16:00 in H-C 3305
  • Random doubles with draw of the pairs on site
  • Snacks and drinks will be provided

Both active players and spectators are cordially invited to the social get-together.

For better planning, we ask for feedback via https://terminplaner6.dfn.de/b/cf8b69bfba53d5d47d4aa4ed921ae6cf-1470146
for better planning.

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Research

New IEEE Transaction on Power Electronics Publications on Meta-Reinforcement Learning

Together with our partners at the University of Paderborn, we recently published an article in IEEE Transactions on Power Electronics entitled “Universal Direct Torque Controller for Permanent Magnet Synchronous Motors via Meta-Reinforcement Learning.” The article addresses highly automated controller synthesis for any permanently excited synchronous drives and demonstrates how a control strategy learned using data-driven algorithms can be transferred from simulative training to real-world laboratory applications. The methodology and empirical investigation presented represent an important step toward the autonomous commissioning of power electronic systems in heterogeneous application contexts in order to achieve optimal system performance with minimal (human) effort.

 

Link to open access publication: https://ieeexplore.ieee.org/document/11263992

DOI: 10.1109/TPEL.2025.3635741

Mission statement

Portrait Oliver Wallscheid

We conduct rigorous, open and responsible research on interconnected automation systems and translate sound modeling, control and data-driven methods into trustworthy technologies that increase safety and reliability, reduce energy plus resource consumption and strengthen resilient infrastructures for the benefit of society. In teaching, we qualify engineers and researchers to combine a physical-analytical understanding of systems with computer-aided and data-oriented tools so that they can actively shape future generations of automation and energy systems.

Research profile

We research networked cyber-physical systems in industrial automation and mechatronics as well as in electrified energy technologies. Central fields of application are electric drives, power electronic converters, energy storage systems and charging infrastructures as well as networked electrical energy systems such as microgrids - with the aim of enabling more reliable, efficient and resilient operation under real operating conditions.

 

Our work covers the entire innovation chain from basic research to industrial transfer. A particular focus is on translating theoretical concepts into practical proof-of-concepts, supported by rapid software and hardware prototyping. Experimental validation, including targeted measurement campaigns on relevant test benches, is an integral part of our research process.

 

Open science is a cornerstone of our research practice. We publish open source software, reproducible workflows and other open resources to enable transparent evaluation, benchmarking and rapid knowledge transfer for students, researchers and industry partners. Our open source contributions can be found on GitHub: https://github.com/IAS-Uni-Siegen

Focus areas

  • Optimal control methods (e.g., reinforcement learning, differential predictive control)
  • Hardware design, optimization and testing of power electronic converters (component and system level)
  • Hybrid modeling and system identification (combination of expert and data knowledge)
  • Condition monitoring, diagnostics and digital twins (e.g. using fault and anomaly detection)
  • State and parameter estimation (observer, co-estimator)
  • Software-driven automation (reproducible design toolchains, verification and benchmarking)

Latest publications

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Conference paper
2024

Influence of Initialisation Parameter in Extended Kalman Filter on State of Charge Estimation

Journal article
2024

Protocol for conducting advanced cyclic tests in lithium-ion batteries to estimate capacity fade

Conference paper
2024

Using a High-frequency Switching Power Converter for Online Electrochemical Impedance Spectroscopy on an Electrolyser System

Journal article
2024

Distributed control of partial differential equations using convolutional reinforcement learning

Conference paper
2024

Cloud-based Battery Test Bed Development for Life Cycle and Performance Evaluation for Electric Vehicle Applications

Conference paper
2024

Operational Insights into a 4 MVA Microgrid Laboratory for Decentralized Power Electronic Applications

Conference paper
2024

Design of a Current Control System for Generating Various Current Forms

Conference paper
2024

Pre-Processing Measurement Data for Computing Internal DC Resistance with Anomaly Detection Techniques

Conference paper
2024

The Impact of Relaxation Time on Cell Degradation across the Life Cycle under diverse operating temperatures

Journal article
2024

Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives

Conference paper
2024

Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches

Conference paper
2024

Design and Development of AC Impedance Measurement Test Circuit for Lithium-ion Cells

Leistungselektronik
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DFG AutoMoLe

Profilbild Oliver Wallscheid

Prof. Dr.-Ing. Oliver Wallscheid

Lehrstuhlinhaber
Bikash

Dr.-Ing. Bikash Sah

Akademische*r Rat*Rätin
Hölsch

Lukas Hölsch

Wissenschaftliche*r Mitarbeiter*in
Sack

Dr.-Ing. Andreas Sack

Research assistant
Jung

Michael Jung

Technical and administrative staff
Malicki

Pawel Malicki M.Sc.

Technical employee
Wertebach

Alexander Wertebach

Technical and administrative staff

Opening hours secretariat

Opening hours

Monday 09:00-13:00 Tuesday 09:00-13:00 Wednesday 09:00-13:00 Thursday 09:00-13:00 Friday 09:00-13:00

Postal address

University of Siegen
Chair of Interconnected Automation Systems (IAS)
Hölderlinstraße 3
57076 Siegen

Visitor address

University of Siegen
Chair of Interconnected Automation Systems (IAS)
H-A Level 4

Room: H-A 4106/3
Hölderlinstraße 3
57076 Siegen

Secretariat

Secretary: Lada Lübke
Phone: +49 (0)271 / 740-3305
Fax: +49 (0)271 / 740-13305

Room: H-A 4106/3
E-Mail: IAS-office@eti.uni-siegen.de